CodeGate + Continue - This FREE Extension BEATS CURSOR! (Opensource + Local)

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AI Summary

Summary of Video Transcript

• Introduction to Codegate
  • Codegate is an open-source, local gateway for AI coding assistance.
  • It enhances privacy and security by processing prompts locally.
  • It filters sensitive data and optimizes prompts before sending to AI models.
  • Validates and refines AI model responses to adhere to best practices.
• Functionality and Integration
  • Integrates with IDEs like Visual Studio Code, GitHub CLI, and JetBrains IDE.
  • Supports AI providers like Llama, Llama CPP, Anthropic API, and OpenAI API.
  • Works with Docker to set up a local gateway on your computer.
• Live Demo and Features
  • Demonstrates Codegate within VS Code, using GitHub Copilot.
  • Capable of detecting and removing suspicious or malicious packages.
  • Offers inline code edits to maintain functionality and security.
• Setting Up the Ideal Coding Workflow
  • Prerequisites: Install Visual Studio Code and Docker.
  • Install Continue within VS Code.
  • Visit Codegate’s website to copy the Docker run command.
  • Ensure system requirements: 16 GB RAM, GPU, and 12 GB free disk space (for best results with Llama locally).
  • Run Docker in the background and execute the Docker command in the command prompt.
  • Configure Codegate within VS Code settings.
• Using Codegate and Continue
  • Continue is an open-source AI coding assistant for VS Code.
  • Offers custom autocomplete, chat experiences, inline edits, and code suggestions.
  • Install a local AI model through a command prompt.
  • Use Codegate to analyze files for security issues, such as leaking secrets or malicious packages.
  • Access Codegate’s dashboard via Local Host to review security detections.
• Capabilities and Benefits
  • Autocomplete and code generation with various AI providers.
  • Example: Generating a front-end design for an e-commerce store.
  • Codegate encrypts sensitive data locally and prevents accidental leaks.
  • Continue enhances developer productivity with its features.

Detailed Instructions and URLs

• Install Visual Studio Code for your operating system.
• Install Docker.
• Install Continue within VS Code by searching for “Continue Dev” in the extensions tab and clicking install.
• Visit Codegate’s website to obtain the Docker run command (URL not provided in the transcript).
• Configure Codegate by copying a code snippet into VS Code settings.

Notes

• No specific CLI commands, website URLs, or tips are provided in the transcript.
• The video focuses on the setup and use of Codegate and Continue for secure AI-assisted coding.
• The summary excludes self-promotion and non-topic related content as per the instructions.